Edison Engineering Development Program Intern – Software
GE HEALTHCARE•Waukesha, WI
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Qualifications
- Current undergraduate student continuing in an accredited degree program after summer 2025; limited to individuals continuing to pursue an undergraduate or master’s degree after the summer of 2025;
- Currently pursuing a degree in Computer Science, Computer Engineering, Biomedical Engineering (with a focus on software) or equivalent degree;
- Required Skillset: Java, C++, and/or Python;
- Excellent communication skills with the ability to articulate technical problems in clear and simple terms;
- Demonstrated analytical ability and technical competency in Computer Engineering or Computer Science areas;
- Strong initiative with the ability to work independently and in teams;
- Proven leadership skills and/or experience;
- Able to work for a minimum of 10 weeks;
- Willing to relocate to greater Milwaukee, WI area (limited remote opportunities may be available); relocation assistance and housing stipend available
Responsibilities
- Wireless hands-free peripheral communication development for infant care incubator
- AI implementation for next-generation labor and delivery surveillance
- Flow analysis tooling for respiratory care monitor
- AWS cloud security landing zone implementation
- Augmented reality device servicing tooling
- MR Coil ChatGPT data analysis tool development
- Wireless hands-free peripheral communication development for infant care incubator
- AI implementation for next-generation labor and delivery surveillance
- Flow analysis tooling for respiratory care monitor
- AWS cloud security landing zone implementation
- Augmented reality device servicing tooling
- MR Coil ChatGPT data analysis tool development
- As a EEDP Software intern, you will receive a summer project that pertains to different parts of the business at GE HealthCare
- Designing, testing and/or debugging functions and features of GE Healthcare products
- Designing, testing and/or debugging functions and features of development/test tools
- Data analytics
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